ptdump of panels (original) (raw)

/ (RootGroup) ''

/._v_attrs (AttributeSet), 5 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

PYTABLES_FORMAT_VERSION := '2.1',

TITLE := '',

VERSION := '1.0']

/AR (Group) ''

/AR._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/AR/table (Table(503182,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (1016,)

/AR/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 503182,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/BM (Group) ''

/BM._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/BM/table (Table(2466,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (508,)

/BM/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 2466,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/BR (Group) ''

/BR._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/BR/table (Table(3720504,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (2032,)

/BR/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 3720504,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/CA (Group) ''

/CA._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/CA/table (Table(30779139,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (4064,)

/CA/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 30779139,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/CL (Group) ''

/CL._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/CL/table (Table(1197194,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (2032,)

/CL/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 1197194,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/CO (Group) ''

/CO._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/CO/table (Table(356160,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (1016,)

/CO/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 356160,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/EC (Group) ''

/EC._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/EC/table (Table(1,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (508,)

/EC/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 1,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/JM (Group) ''

/JM._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/JM/table (Table(131355,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (1016,)

/JM/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 131355,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/MX (Group) ''

/MX._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/MX/table (Table(1874880,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (2032,)

/MX/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 1874880,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/PA (Group) ''

/PA._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/PA/table (Table(5,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (508,)

/PA/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 5,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/PE (Group) ''

/PE._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/PE/table (Table(914685,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (2032,)

/PE/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 914685,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/TT (Group) ''

/TT._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/TT/table (Table(56392,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (508,)

/TT/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 56392,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/US (Group) ''

/US._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/US/table (Table(57529039,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (4064,)

/US/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 57529039,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]

/VE (Group) ''

/VE._v_attrs (AttributeSet), 15 attributes:

[CLASS := 'GROUP',

FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),

TITLE := '',

VERSION := '1.0',

data_columns := ['liq', 'close', 'volume'],

encoding := None,

index_cols := [(1, 'major_axis'), (2, 'minor_axis')],

info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},

levels := 1,

nan_rep := 'nan',

non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],

pandas_type := 'wide_table',

pandas_version := '0.10.1',

table_type := 'appendable_panel',

values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]

/VE/table (Table(133650,), shuffle, blosc(9)) ''

description := {

"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),

"minor_axis": Int64Col(shape=(), dflt=0, pos=1),

"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),

"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),

"liq": Float64Col(shape=(), dflt=0.0, pos=4),

"close": Float64Col(shape=(), dflt=0.0, pos=5),

"volume": Float64Col(shape=(), dflt=0.0, pos=6)}

byteorder := 'little'

chunkshape := (1016,)

/VE/table._v_attrs (AttributeSet), 30 attributes:

[CLASS := 'TABLE',

FIELD_0_FILL := '',

FIELD_0_NAME := 'major_axis',

FIELD_1_FILL := 0,

FIELD_1_NAME := 'minor_axis',

FIELD_2_FILL := 0.0,

FIELD_2_NAME := 'values_block_0',

FIELD_3_FILL := '',

FIELD_3_NAME := 'values_block_1',

FIELD_4_FILL := 0.0,

FIELD_4_NAME := 'liq',

FIELD_5_FILL := 0.0,

FIELD_5_NAME := 'close',

FIELD_6_FILL := 0.0,

FIELD_6_NAME := 'volume',

NROWS := 133650,

TITLE := '',

VERSION := '2.7',

close_dtype := 'float64',

close_kind := ['close'],

liq_dtype := 'float64',

liq_kind := ['liq'],

major_axis_kind := 'string',

minor_axis_kind := 'datetime64',

values_block_0_dtype := 'float64',

values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],

values_block_1_dtype := 'string24',

values_block_1_kind := ['country', 'currency'],

volume_dtype := 'float64',

volume_kind := ['volume']]